Software Engineer II

Job Summary Responsibilities

• Own frontend features end-to-end - architecture, implementation, testing, staged rollout, and production monitoring - across our student and educator web applications.
• Translate product requirements into component architecture, GraphQL query/schema boundaries, and client-state contracts (React Query, Redux Toolkit, or similar) that other engineers build on.
• Debug cross-system issues that surface in the UI - GraphQL supergraph errors, auth/session edge cases, server/client rendering mismatches - by tracing root cause across the stack.
• Build AI-powered learning features responsibly: validate model output before it reaches the UI, design graceful fallbacks for unusable responses, and instrument these flows with telemetry.
• Apply security and data-protection practices - input validation, secure auth/session handling, careful treatment of user data - as a default part of the code you ship, not a step someone else checks for.
• Optimize application performance (rendering strategy, bundle size, Core Web Vitals) as an ongoing part of feature work.
• Own the quality of your changes through automated tests (unit, component, and end-to-end), CI stability, and production validation.
• Partner closely with Product, Design, Backend, and Content Operations to deliver and harden high-impact learner and educator workflows.
• Contribute to engineering quality through strong code reviews - including review of AI-generated code - reusable patterns, shared components, and clear documentation that keeps technical debt low.
• Ship end-to-end changes across the web application and its supporting APIs/schema, as needed.

Required Qualifications

• Most qualified candidates will likely bring 4+ years of professional frontend engineering experience building production web applications, with demonstrated ownership of features from design through launch.
• Strong hands-on experience with React and Next.js, and comfort working in TypeScript.
• Working knowledge of web fundamentals - common security pitfalls (XSS, CSRF, auth/session handling), performance (rendering strategy, bundle size, Core Web Vitals), and accessibility (WCAG/ARIA basics) - and the judgment to apply them without being told to.
• Experience designing and consuming APIs across common paradigms - GraphQL (schema design, codegen, querying), REST, and real-time protocols such as WebSockets - and working with at least one modern client-state approach (React Query, Redux Toolkit, or similar).
• Strong testing and release-validation discipline - unit/component testing (Vitest or Jest, React Testing Library) and end-to-end testing (Playwright or Cypress).
• Comfort using AI-assisted development tools responsibly, with the ability to explain, validate, and safely ship the code you produce.
• Sound understanding of data structures, algorithms, and general software design principles, applied pragmatically rather than academically.

Preferred Qualifications

• Experience with a CSS-in-JS styling approach and working alongside a component library (e.g., MUI).
• Working knowledge of AWS infrastructure concepts (compute, storage, networking, basic service architecture) and some Node.js backend exposure - enough to ramp into our Kotlin/Java or Python backend services when needed, even without prior production experience in those languages.
• Experience with Auth0 or similar authentication providers in a Next.js application.
• Experience shipping AI-powered UI - streaming responses, structured output rendering, graceful handling of model failures.
• Experience contributing to shared component libraries or tooling used across multiple teams/repos.
• Familiarity with frontend observability tooling (New Relic or similar).
• Experience in EdTech, e-commerce, or another consumer-facing product company.

Tech Stack

• Frontend: React (18/19), Next.js, TypeScript, GraphQL (Apollo tooling, codegen against a shared supergraph), React Query / Redux Toolkit / Zustand, styled-components, MUI
• Backend (foundational): Node.js, AWS (compute/storage/networking basics) - enough to ramp into Kotlin/Java (Spring) or Python (FastAPI/Django) services owned by backend engineering
• Testing: Vitest, React Testing Library, Playwright, MSW
• Auth / Delivery: Auth0, GitLab CI
• Observability: New Relic
• AI / ML: OpenAI, AWS Bedrock (via shared backend integrations)

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